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dc.contributor.authorJi-fan Ren, Sen
dc.contributor.authorFosso Wamba, Sen
dc.contributor.authorAkter, Sen
dc.contributor.authorDubey, Ren
dc.contributor.authorChilde, SJen

Big data analytics have become an increasingly important component for firms across advanced economies. This paper examines the quality dynamics in big data environment that are linked with enhancing business value and firm performance. The study identifies that system quality (i.e., system reliability, accessibility, adaptability, integration, response time and privacy) and information quality (i.e., completeness, accuracy, format and currency) are key to enhance business value and firm performance in a big data environment. The study also proposes that the relationship between quality and firm performance is mediated by business value of big data. Drawing on the resource based theory and the information systems success literature, this study extends knowledge in this domain by linking system quality, information quality, business value and firm performance.

dc.titleModelling quality dynamics on business value and firm performance in big data analytics environmenten
dc.typeJournal Article
plymouth.journalInternational Journal of Production Researchen
plymouth.organisational-group/Plymouth/00 Groups by role
plymouth.organisational-group/Plymouth/00 Groups by role/Academics
plymouth.organisational-group/Plymouth/Faculty of Business
plymouth.organisational-group/Plymouth/Faculty of Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
dc.rights.embargoperiodNo embargoen
rioxxterms.typeJournal Article/Reviewen

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